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Record W4288047635 · doi:10.53730/ijhs.v6ns4.9590

role of religious coping in quality of life among people with chronic disease

2022· article· en· W4288047635 on OpenAlexaboutno aff
Sarwoko Sarwoko, Fery Agusman, Susi Nurhayati

Bibliographic record

VenueInternational Journal of Health Sciences · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsnot available
Fundersnot available
KeywordsCoping (psychology)Observational studyDiseaseClinical psychologySocial supportMedicinePsychologyQuality of life (healthcare)GerontologyPsychotherapistInternal medicine

Abstract

fetched live from OpenAlex

This study aims to assess the association of religious coping and social support and self-care toward general quality of life among people with chronic disease. This article was a systematic review study conducted by searching primary articles from online databases including Google Scholar, PubMed, and Science Direct. We systematically searched full articles with the publication year until 2022. Results: Ultimately, 9 studies met the inclusion criteria of the present study and were included in the review. We completed a quality assessment using the Newcastle–Ottawa Quality Assessment scales for observational studies. We found that there was a positive association between positive religious coping with quality of life and hope among patients with cancer or diabetes type 2. We also found that positive religious coping can affect physical symptoms, adjustment to cancer, adherence to treatment, and reducing depression. Conclusion: Positive religious coping can affect the quality of life among patients with chronic diseases, such as cancer and diabetes type 2.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.044
GPT teacher head0.426
Teacher spread0.382 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2022
Admission routes1
Has abstractyes

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